English

On the Equivariance Properties of Self-adjoint Matrices

Dynamical Systems 2019-09-24 v2

Abstract

We investigate self-adjoint matrices ARn,nA\in\mathbb{R}^{n,n} with respect to their equivariance properties. We show in particular that a matrix is self-adjoint if and only if it is equivariant with respect to the action of a group Γ2(A)O(n)\Gamma_2(A)\subset \mathbf{O}(n) which is isomorphic to k=1nZ2\otimes_{k=1}^n\mathbf{Z}_2. If the self-adjoint matrix possesses multiple eigenvalues -- this may, for instance, be induced by symmetry properties of an underlying dynamical system -- then AA is even equivariant with respect to the action of a group Γ(A)i=1kO(mi)\Gamma(A) \simeq \prod_{i = 1}^k \mathbf{O}(m_i) where m1,,mkm_1,\ldots,m_k are the multiplicities of the eigenvalues λ1,,λk\lambda_1,\ldots,\lambda_k of AA. We discuss implications of this result for equivariant bifurcation problems, and we briefly address further applications for the Procrustes problem, graph symmetries and Taylor expansions.

Keywords

Cite

@article{arxiv.1902.08491,
  title  = {On the Equivariance Properties of Self-adjoint Matrices},
  author = {Michael Dellnitz and Bennet Gebken and Raphael Gerlach and Stefan Klus},
  journal= {arXiv preprint arXiv:1902.08491},
  year   = {2019}
}